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A Multigene-Panel Study Identifies Single Nucleotide Polymorphisms Associated with Prostate Cancer Risk

The immune system plays a critical role in modulating cancer development and progression. Polymorphisms in key genes involved in immune responses are known to affect susceptibility to cancer. Here, we analyzed 35 genes to evaluate the association between variants of genes involved in immune response...

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Autores principales: Manca, Maria Antonietta, Scarpa, Fabio, Cossu, Davide, Simula, Elena Rita, Sanna, Daria, Ruberto, Stefano, Noli, Marta, Ashraf, Hajra, Solinas, Tatiana, Madonia, Massimo, Cusano, Roberto, Sechi, Leonardo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142258/
https://www.ncbi.nlm.nih.gov/pubmed/37108754
http://dx.doi.org/10.3390/ijms24087594
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author Manca, Maria Antonietta
Scarpa, Fabio
Cossu, Davide
Simula, Elena Rita
Sanna, Daria
Ruberto, Stefano
Noli, Marta
Ashraf, Hajra
Solinas, Tatiana
Madonia, Massimo
Cusano, Roberto
Sechi, Leonardo A.
author_facet Manca, Maria Antonietta
Scarpa, Fabio
Cossu, Davide
Simula, Elena Rita
Sanna, Daria
Ruberto, Stefano
Noli, Marta
Ashraf, Hajra
Solinas, Tatiana
Madonia, Massimo
Cusano, Roberto
Sechi, Leonardo A.
author_sort Manca, Maria Antonietta
collection PubMed
description The immune system plays a critical role in modulating cancer development and progression. Polymorphisms in key genes involved in immune responses are known to affect susceptibility to cancer. Here, we analyzed 35 genes to evaluate the association between variants of genes involved in immune responses and prostate cancer risk. Thirty-five genes were analyzed in 47 patients with prostate cancer and 43 healthy controls using next-generation sequencing. Allelic and genotype frequencies were calculated in both cohorts, and a generalized linear mixed model was applied to test the relationship between prostate cancer risk and nucleotide substitution. Odds ratios were calculated to describe the association between each single nucleotide polymorphism (SNP) and prostate cancer risk. Significant changes in allelic and genotypic distributions were observed for IL4R, IL12RB1, IL12RB2, IL6, TMPRSS2, and ACE2. Furthermore, a generalized linear mixed model identified statistically significant associations between prostate cancer risk and SNPs in IL12RB2, IL13, IL17A, IL4R, MAPT, and TFNRS1B. Finally, a statistically significant association was observed between IL2RA and TNFRSF1B and Gleason scores, and between SLC11A1, TNFRSF1B and PSA values. We identified SNPs in inflammation and two prostate cancer-associated genes. Our results provide new insights into the immunogenetic landscape of prostate cancer and the impact that SNPs on immune genes may have on affecting the susceptibility to prostate cancer.
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spelling pubmed-101422582023-04-29 A Multigene-Panel Study Identifies Single Nucleotide Polymorphisms Associated with Prostate Cancer Risk Manca, Maria Antonietta Scarpa, Fabio Cossu, Davide Simula, Elena Rita Sanna, Daria Ruberto, Stefano Noli, Marta Ashraf, Hajra Solinas, Tatiana Madonia, Massimo Cusano, Roberto Sechi, Leonardo A. Int J Mol Sci Article The immune system plays a critical role in modulating cancer development and progression. Polymorphisms in key genes involved in immune responses are known to affect susceptibility to cancer. Here, we analyzed 35 genes to evaluate the association between variants of genes involved in immune responses and prostate cancer risk. Thirty-five genes were analyzed in 47 patients with prostate cancer and 43 healthy controls using next-generation sequencing. Allelic and genotype frequencies were calculated in both cohorts, and a generalized linear mixed model was applied to test the relationship between prostate cancer risk and nucleotide substitution. Odds ratios were calculated to describe the association between each single nucleotide polymorphism (SNP) and prostate cancer risk. Significant changes in allelic and genotypic distributions were observed for IL4R, IL12RB1, IL12RB2, IL6, TMPRSS2, and ACE2. Furthermore, a generalized linear mixed model identified statistically significant associations between prostate cancer risk and SNPs in IL12RB2, IL13, IL17A, IL4R, MAPT, and TFNRS1B. Finally, a statistically significant association was observed between IL2RA and TNFRSF1B and Gleason scores, and between SLC11A1, TNFRSF1B and PSA values. We identified SNPs in inflammation and two prostate cancer-associated genes. Our results provide new insights into the immunogenetic landscape of prostate cancer and the impact that SNPs on immune genes may have on affecting the susceptibility to prostate cancer. MDPI 2023-04-20 /pmc/articles/PMC10142258/ /pubmed/37108754 http://dx.doi.org/10.3390/ijms24087594 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Manca, Maria Antonietta
Scarpa, Fabio
Cossu, Davide
Simula, Elena Rita
Sanna, Daria
Ruberto, Stefano
Noli, Marta
Ashraf, Hajra
Solinas, Tatiana
Madonia, Massimo
Cusano, Roberto
Sechi, Leonardo A.
A Multigene-Panel Study Identifies Single Nucleotide Polymorphisms Associated with Prostate Cancer Risk
title A Multigene-Panel Study Identifies Single Nucleotide Polymorphisms Associated with Prostate Cancer Risk
title_full A Multigene-Panel Study Identifies Single Nucleotide Polymorphisms Associated with Prostate Cancer Risk
title_fullStr A Multigene-Panel Study Identifies Single Nucleotide Polymorphisms Associated with Prostate Cancer Risk
title_full_unstemmed A Multigene-Panel Study Identifies Single Nucleotide Polymorphisms Associated with Prostate Cancer Risk
title_short A Multigene-Panel Study Identifies Single Nucleotide Polymorphisms Associated with Prostate Cancer Risk
title_sort multigene-panel study identifies single nucleotide polymorphisms associated with prostate cancer risk
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142258/
https://www.ncbi.nlm.nih.gov/pubmed/37108754
http://dx.doi.org/10.3390/ijms24087594
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